Vision Transformers
The architecture that took over NLP turns out to work for images too, once you accept one reframing: an image is a sequence of patches. Once that step is taken, the entire transformer stack from Transformer Architecture transfers to vision essentially unchanged — the same attention, the same feed-forward blocks, the same residual and normalisation pattern.